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graph_var_manager.cc 40 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include "graph/manager/graph_var_manager.h"
  17. #include "graph/debug/ge_attr_define.h"
  18. #include "graph/manager/graph_mem_manager.h"
  19. #include "graph/manager/trans_var_data_utils.h"
  20. #include "graph/utils/type_utils.h"
  21. using std::map;
  22. using std::string;
  23. using std::vector;
  24. namespace ge {
  25. VarResource::VarResource(uint64_t session_id) : session_id_(session_id) {}
  26. VarResource::~VarResource() {
  27. var_offset_map_.clear();
  28. var_addr_mgr_map_.clear();
  29. cur_var_tensor_desc_map_.clear();
  30. var_broad_cast_info_.clear();
  31. }
  32. ge::Status VarResource::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  33. rtMemType_t &memory_type) {
  34. if (dev_ptr == nullptr) {
  35. REPORT_INNER_ERROR("E19999", "Param dev_ptr is nullptr, var_name:%s, session_id:%lu, "
  36. "check invalid", var_name.c_str(), session_id_);
  37. GELOGE(FAILED, "[Check][Param] Param dev_ptr is nullptr, var_name:%s, session_id:%lu",
  38. var_name.c_str(), session_id_);
  39. return FAILED;
  40. }
  41. std::string var_key = VarKey(var_name, tensor_desc);
  42. GELOGD("VarResource::GetVarAddr , var_key = %s", var_key.c_str());
  43. auto iter = var_addr_mgr_map_.find(var_key);
  44. if (iter == var_addr_mgr_map_.end()) {
  45. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  46. "check invalid", var_key.c_str(), var_name.c_str(),
  47. session_id_);
  48. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  49. var_key.c_str(), var_name.c_str(), session_id_);
  50. return FAILED;
  51. }
  52. *dev_ptr = iter->second.address;
  53. memory_type = iter->second.memory_type;
  54. return SUCCESS;
  55. }
  56. void VarResource::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  57. var_addr_mgr_map = var_addr_mgr_map_;
  58. }
  59. void VarResource::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  60. rtMemType_t memory_type) {
  61. std::string var_key = VarKey(var_name, tensor_desc);
  62. GELOGI("VarResource::SetVarAddr , var_key = %s, mem_type:%u", var_key.c_str(), memory_type);
  63. if (var_addr_mgr_map_.count(var_key) == 0) {
  64. GELOGI("SetVarAddr node_name %s, tensor_desc type %s, format %s", var_name.c_str(),
  65. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  66. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  67. VarAddrMgr var_addr_mgr;
  68. var_addr_mgr.address = dev_ptr;
  69. var_addr_mgr.tensor_desc = tensor_desc;
  70. var_addr_mgr_map_[var_key] = var_addr_mgr;
  71. }
  72. cur_var_tensor_desc_map_[var_name] = tensor_desc;
  73. }
  74. ge::Status VarResource::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  75. rtMemType_t memory_type) {
  76. std::string var_key = VarKey(var_name, tensor_desc);
  77. GELOGD("VarResource::SaveVarAddr, var_key = %s", var_key.c_str());
  78. if (var_addr_mgr_map_.count(var_key) == 0) {
  79. uint64_t logic_address = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  80. if (memory_type != RT_MEMORY_RDMA_HBM) {
  81. logic_address += VarManager::Instance(session_id_)->GetVarMemLogicBase();
  82. }
  83. GELOGI("SaveVarAddr node_name %s, tensor_desc format %s, type %s.", var_name.c_str(),
  84. TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  85. TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  86. VarAddrMgr var_addr_mgr;
  87. var_addr_mgr.address = reinterpret_cast<uint8_t *>(static_cast<std::uintptr_t>(logic_address));
  88. var_addr_mgr.offset = static_cast<uint64_t>(reinterpret_cast<std::uintptr_t>(address));
  89. var_addr_mgr.tensor_desc = tensor_desc;
  90. var_addr_mgr.memory_type = memory_type;
  91. var_addr_mgr_map_[var_key] = var_addr_mgr;
  92. var_offset_map_[logic_address] = memory_type;
  93. return SUCCESS;
  94. }
  95. REPORT_INNER_ERROR("E19999", "var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu, "
  96. "check invalid", var_key.c_str(), var_name.c_str(),
  97. session_id_);
  98. GELOGE(FAILED, "[Check][Param] var_key:%s conflict in var_addr_mgr_map_, var_name:%s, session_id:%lu",
  99. var_key.c_str(), var_name.c_str(), session_id_);
  100. return FAILED;
  101. }
  102. bool VarResource::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  103. std::string var_key = VarKey(var_name, tensor_desc);
  104. return var_addr_mgr_map_.count(var_key) != 0;
  105. }
  106. bool VarResource::IsVarExist(const std::string &var_name) { return cur_var_tensor_desc_map_.count(var_name) != 0; }
  107. std::string VarResource::VarKey(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  108. std::string var_key(var_name);
  109. var_key.append(std::to_string(static_cast<int32_t>(tensor_desc.GetFormat())))
  110. .append("_")
  111. .append(std::to_string(static_cast<int32_t>(tensor_desc.GetDataType())));
  112. return var_key;
  113. }
  114. ge::Status VarResource::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  115. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  116. return FAILED;
  117. }
  118. tensor_desc = cur_var_tensor_desc_map_[var_name];
  119. return SUCCESS;
  120. }
  121. ge::Status VarResource::RenewCurVarDesc(const std::string &var_name, const ge::OpDescPtr &op_desc) {
  122. if (cur_var_tensor_desc_map_.count(var_name) == 0) {
  123. GELOGI("There is no this node[%s] in var tensor_desc map. so no need renew!", var_name.c_str());
  124. return SUCCESS;
  125. }
  126. if (op_desc == nullptr) {
  127. REPORT_INNER_ERROR("E19999", "Param op_desc is nullptr, var_name:%s, session_id:%lu, check invalid",
  128. var_name.c_str(), session_id_);
  129. GELOGE(FAILED, "[Check][Param] input opdesc is nullptr, var_name:%s, session_id:%lu",
  130. var_name.c_str(), session_id_);
  131. return FAILED;
  132. }
  133. ge::GeTensorDesc curr_desc;
  134. ge::Status ret = GetCurVarDesc(var_name, curr_desc);
  135. if (ret != SUCCESS) {
  136. GELOGE(FAILED, "[Get][CurVarDesc] fail, var_name:%s, session_id:%lu", var_name.c_str(), session_id_);
  137. return FAILED;
  138. }
  139. std::string key = VarKey(var_name, curr_desc);
  140. curr_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  141. curr_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  142. cur_var_tensor_desc_map_[var_name] = curr_desc;
  143. auto iter = var_addr_mgr_map_.find(key);
  144. if (iter == var_addr_mgr_map_.end()) {
  145. REPORT_INNER_ERROR("E19999", "var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s), "
  146. "check invalid", key.c_str(), var_name.c_str(),
  147. session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  148. GELOGE(FAILED, "[Check][Param] var_key:%s can't find in var_addr_mgr_map_, var_name:%s, session_id:%lu, op:%s(%s)",
  149. key.c_str(), var_name.c_str(), session_id_, op_desc->GetName().c_str(), op_desc->GetType().c_str());
  150. return FAILED;
  151. }
  152. auto val = iter->second;
  153. val.tensor_desc.SetOriginFormat((op_desc->GetOutputDesc(0)).GetOriginFormat());
  154. val.tensor_desc.SetFormat((op_desc->GetOutputDesc(0)).GetFormat());
  155. var_addr_mgr_map_.erase(iter);
  156. key = VarKey(var_name, curr_desc);
  157. var_addr_mgr_map_[key] = val;
  158. return SUCCESS;
  159. }
  160. void VarResource::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  161. var_broad_cast_info_[graph_id][broad_cast_info.var_name] = broad_cast_info;
  162. }
  163. ge::Status VarResource::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  164. if (var_broad_cast_info_.count(graph_id) == 0 || var_broad_cast_info_[graph_id].count(var_name) == 0) {
  165. return FAILED;
  166. }
  167. broad_cast_info = var_broad_cast_info_[graph_id][var_name];
  168. return SUCCESS;
  169. }
  170. bool VarResource::IsVarAddr(const int64_t &offset) { return var_offset_map_.count(offset) > 0; }
  171. rtMemType_t VarResource::GetVarMemType(const int64_t &offset) {
  172. if (var_offset_map_.count(offset) > 0) {
  173. return var_offset_map_[offset];
  174. }
  175. return RT_MEMORY_RESERVED;
  176. }
  177. VarTransRoad *VarResource::GetTransRoad(const std::string &var_name) {
  178. auto iter = var_to_trans_road_.find(var_name);
  179. if (iter == var_to_trans_road_.end()) {
  180. return nullptr;
  181. } else {
  182. return &(iter->second);
  183. }
  184. }
  185. Status VarResource::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  186. auto iter = var_names_to_changed_graph_id_.find(var_name);
  187. if (iter == var_names_to_changed_graph_id_.end()) {
  188. return FAILED;
  189. } else {
  190. graph_id = iter->second;
  191. return SUCCESS;
  192. }
  193. }
  194. Status VarResource::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  195. auto iter = var_names_to_allocated_graph_id_.find(var_name);
  196. if (iter == var_names_to_allocated_graph_id_.end()) {
  197. return FAILED;
  198. } else {
  199. graph_id = iter->second;
  200. return SUCCESS;
  201. }
  202. }
  203. Status VarResource::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  204. if (GetAllocatedGraphId(var_name, graph_id) == SUCCESS) {
  205. GELOGW("VarManager var[%s] has been allocated in graph[%d]", var_name.c_str(), graph_id);
  206. return SUCCESS;
  207. }
  208. var_names_to_allocated_graph_id_[var_name] = graph_id;
  209. return SUCCESS;
  210. }
  211. MemResource::MemResource() : total_size_(0), var_mem_size_(0) {}
  212. MemResource *MemResource::BuildMemResourceFromType(rtMemType_t mem_type) {
  213. switch (mem_type) {
  214. case RT_MEMORY_HBM:
  215. return new (std::nothrow) HbmMemResource();
  216. case RT_MEMORY_RDMA_HBM:
  217. return new (std::nothrow) RdmaMemResource();
  218. default:
  219. return nullptr;
  220. }
  221. }
  222. Status HbmMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id,
  223. size_t &mem_offset) {
  224. size = (size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  225. uint64_t real_size = size;
  226. total_size_ = VarManager::Instance(session_id)->GetVarMemMaxSize();
  227. if (total_size_ < var_mem_size_) {
  228. REPORT_INNER_ERROR("E19999", "VarMemMaxSize:%lu < var_mem_size_:%lu, var_size:%lu, var_name:%s, check invalid"
  229. "", total_size_, var_mem_size_, size, var_name.c_str());
  230. GELOGE(PARAM_INVALID, "[Check][Param] total_size_:%lu is smaller than var_mem_size_:%lu, var_name:%s",
  231. total_size_, var_mem_size_, var_name.c_str());
  232. return PARAM_INVALID;
  233. }
  234. uint64_t free_size = total_size_ - var_mem_size_;
  235. if (free_size < (size + kSessionMemAlignSize * kSessionMemAlignUnit)) {
  236. REPORT_INNER_ERROR("E19999", "free_size:%lu not enough, var_align_size:%lu, var_name:%s, check invalid",
  237. free_size, size, var_name.c_str());
  238. GELOGE(PARAM_INVALID, "[Check][Param] Out of memory: current var size[%lu] exceeds total var size[%lu]",
  239. size + kSessionMemAlignSize * kSessionMemAlignUnit + var_mem_size_, total_size_);
  240. return PARAM_INVALID;
  241. }
  242. mem_offset = var_mem_size_;
  243. // offset for next, align 512 BYTE
  244. size = size + kSessionMemAlignSize;
  245. var_mem_size_ = var_mem_size_ + size;
  246. // align 512 BYTE
  247. var_mem_size_ = var_mem_size_ + kSessionMemAlignSize;
  248. GELOGI(
  249. "[IMAS]AssignVarMem Set session_%lu name[%s] output[%d]"
  250. "offset to [%zu] size[%lu] realsize[%lu].",
  251. session_id, var_name.c_str(), 0, mem_offset, (var_mem_size_ - mem_offset), real_size);
  252. return SUCCESS;
  253. }
  254. Status RdmaMemResource::AssignVarMem(const std::string &var_name, uint64_t size, uint64_t session_id, size_t &address) {
  255. uint8_t *buffer = MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).Malloc(size);
  256. if (buffer == nullptr) {
  257. REPORT_CALL_ERROR("E19999", "malloc rdma memory fail, var_size:%lu, var_name:%s",
  258. size, var_name.c_str());
  259. GELOGE(MEMALLOC_FAILED, "[Malloc][RdmaMemory] for node %s failed, size = %lu", var_name.c_str(), size);
  260. return MEMALLOC_FAILED;
  261. }
  262. address = static_cast<size_t>(reinterpret_cast<uintptr_t>(buffer));
  263. var_mem_size_ += size;
  264. GELOGI("[IMAS]AssignVarMem Set session_%lu name[%s] output[%d] addr to [%p] size[%lu].",
  265. session_id, var_name.c_str(), 0, buffer, size);
  266. return SUCCESS;
  267. }
  268. uint64_t MemResource::GetVarMemSize() const { return var_mem_size_; }
  269. void MemResource::UpdateVarMemSize(int64_t mem_size) { var_mem_size_ = mem_size; };
  270. VarManager::VarManager(uint64_t session_id)
  271. : version_(SessionVersion::OTHER_VERSION),
  272. session_id_(session_id),
  273. device_id_(0),
  274. job_id_(0),
  275. graph_mem_max_size_(kGraphMemoryManagerMallocMaxSize),
  276. var_mem_max_size_(kMemoryVarManagerMallocSize),
  277. var_mem_logic_base_(kMemoryVarLogicBase),
  278. use_max_mem_size_(kUseMaxMemorySize) {}
  279. VarManager *VarManager::Instance(uint64_t session_id) {
  280. GELOGD("VarManager::Instance, session id = %lu", session_id);
  281. return VarManagerPool::Instance().GetVarManager(session_id);
  282. }
  283. void VarManager::Destory() {
  284. std::lock_guard<std::recursive_mutex> lock(mutex_);
  285. GELOGI("VarManager::Destory, session id = %lu.", session_id_);
  286. version_ = SessionVersion::OTHER_VERSION;
  287. device_id_ = 0;
  288. session_id_ = 0;
  289. for (auto &memory_resource : mem_resource_map_) {
  290. if (memory_resource.second != nullptr) {
  291. delete memory_resource.second;
  292. memory_resource.second = nullptr;
  293. }
  294. }
  295. mem_resource_map_.clear();
  296. }
  297. ge::Status VarManager::Init(const uint32_t &version, const uint64_t &session_id, const uint32_t &device_id,
  298. const uint64_t &job_id) {
  299. std::lock_guard<std::recursive_mutex> lock(mutex_);
  300. GELOGI("VarManager::Init, session id = %lu.", session_id);
  301. if (var_resource_ == nullptr) {
  302. version_ = version;
  303. device_id_ = device_id;
  304. session_id_ = session_id;
  305. job_id_ = job_id;
  306. var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
  307. if (var_resource_ == nullptr) {
  308. GELOGW("VarManager init failed session id = %lu.", session_id);
  309. return ge::INTERNAL_ERROR;
  310. }
  311. } else {
  312. GELOGW("VarManager::has been inited, session id = %lu.", session_id);
  313. }
  314. return SUCCESS;
  315. }
  316. const uint64_t &VarManager::SessionId() const {
  317. std::lock_guard<std::recursive_mutex> lock(mutex_);
  318. return session_id_;
  319. }
  320. const uint32_t &VarManager::DeviceId() const {
  321. std::lock_guard<std::recursive_mutex> lock(mutex_);
  322. return device_id_;
  323. }
  324. const uint64_t &VarManager::JobId() const {
  325. std::lock_guard<std::recursive_mutex> lock(mutex_);
  326. return job_id_;
  327. }
  328. ge::Status VarManager::SetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *dev_ptr,
  329. rtMemType_t memory_type) {
  330. GELOGI("VarManager::SetVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  331. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  332. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  333. std::lock_guard<std::recursive_mutex> lock(mutex_);
  334. if (var_resource_ == nullptr) {
  335. GELOGW("VarManager has not been init.");
  336. return ge::INTERNAL_ERROR;
  337. }
  338. var_resource_->SetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  339. return ge::SUCCESS;
  340. }
  341. ge::Status VarManager::SaveVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t *address,
  342. rtMemType_t memory_type) {
  343. GELOGI("VarManager::SaveVarAddr var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  344. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  345. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  346. std::lock_guard<std::recursive_mutex> lock(mutex_);
  347. if (var_resource_ == nullptr) {
  348. GELOGW("VarManager has not been init.");
  349. return ge::INTERNAL_ERROR;
  350. }
  351. var_resource_->SaveVarAddr(var_name, tensor_desc, address, memory_type);
  352. return ge::SUCCESS;
  353. }
  354. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr,
  355. rtMemType_t &memory_type) {
  356. std::lock_guard<std::recursive_mutex> lock(mutex_);
  357. GELOGD("VarManager::GetVarAddr var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  358. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  359. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  360. if (var_resource_ == nullptr) {
  361. GELOGW("VarManager has not been init.");
  362. return ge::INTERNAL_ERROR;
  363. }
  364. auto ret = var_resource_->GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  365. if (ret != SUCCESS) {
  366. GELOGW("GetVarAddr fail.");
  367. return ge::INTERNAL_ERROR;
  368. }
  369. return SUCCESS;
  370. }
  371. ge::Status VarManager::GetVarAddr(const std::string &var_name, const ge::GeTensorDesc &tensor_desc, uint8_t **dev_ptr) {
  372. std::lock_guard<std::recursive_mutex> lock(mutex_);
  373. rtMemType_t memory_type = RT_MEMORY_HBM;
  374. return GetVarAddr(var_name, tensor_desc, dev_ptr, memory_type);
  375. }
  376. void VarManager::GetAllVarAddrMgr(std::unordered_map<std::string, VarAddrMgr> &var_addr_mgr_map) {
  377. var_resource_->GetAllVarAddrMgr(var_addr_mgr_map);
  378. }
  379. int64_t VarManager::GetVarMemSize(rtMemType_t memory_type) {
  380. std::lock_guard<std::recursive_mutex> lock(mutex_);
  381. MemResource *mem_resource = nullptr;
  382. auto iter = mem_resource_map_.find(memory_type);
  383. if (iter == mem_resource_map_.end()) {
  384. return 0;
  385. } else {
  386. mem_resource = iter->second;
  387. }
  388. if (mem_resource == nullptr) {
  389. REPORT_INNER_ERROR("E19999", "Find no mem_resource in map, memory_type:%d, session_id:%lu",
  390. memory_type, session_id_);
  391. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%d, session_id:%lu",
  392. memory_type, session_id_);
  393. return 0;
  394. }
  395. return mem_resource->GetVarMemSize();
  396. }
  397. Status VarManager::UpdateVarMemSize(rtMemType_t memory_type, int64_t mem_size) {
  398. std::lock_guard<std::recursive_mutex> lock(mutex_);
  399. MemResource *mem_resource = nullptr;
  400. auto iter = mem_resource_map_.find(memory_type);
  401. if (iter == mem_resource_map_.end()) {
  402. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  403. if (mem_resource == nullptr) {
  404. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  405. memory_type, session_id_);
  406. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu",
  407. memory_type, session_id_);
  408. return ge::INTERNAL_ERROR;
  409. } else {
  410. mem_resource_map_[memory_type] = mem_resource;
  411. }
  412. } else {
  413. mem_resource = iter->second;
  414. }
  415. if (mem_resource == nullptr) {
  416. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  417. memory_type, session_id_);
  418. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu",
  419. memory_type, session_id_);
  420. return FAILED;
  421. }
  422. mem_resource->UpdateVarMemSize(mem_size);
  423. return SUCCESS;
  424. }
  425. ge::Status VarManager::AssignVarMem(const std::string &var_name, const ge::GeTensorDesc &tensor_desc,
  426. rtMemType_t memory_type) {
  427. std::lock_guard<std::recursive_mutex> lock(mutex_);
  428. GELOGI("VarManager::AssignVarMem var_name = %s, data_type = %s, data_format = %s.", var_name.c_str(),
  429. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  430. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str());
  431. int64_t tensor_desc_size = 0;
  432. size_t mem_offset = 0;
  433. ge::Status result = TensorUtils::GetSize(tensor_desc, tensor_desc_size);
  434. if (result != ge::SUCCESS) {
  435. REPORT_CALL_ERROR("E19999", "Get size from tensor fail, var_name:%s, memory_type:%d, session_id:%lu",
  436. var_name.c_str(), memory_type, session_id_);
  437. GELOGE(result, "[Get][Size] from tensor fail, var_name:%s, memory_type:%u, session_id:%lu",
  438. var_name.c_str(), memory_type, session_id_);
  439. return result;
  440. }
  441. MemResource *mem_resource = nullptr;
  442. auto it = mem_resource_map_.find(memory_type);
  443. if (it == mem_resource_map_.end()) {
  444. mem_resource = MemResource::BuildMemResourceFromType(memory_type);
  445. if (mem_resource == nullptr) {
  446. REPORT_CALL_ERROR("E19999", "memory_type:%d invalid or New MemResource fail, session_id:%lu",
  447. memory_type, session_id_);
  448. GELOGE(ge::INTERNAL_ERROR, "[Alloc][MemResource] failed, memory_type:%u, session_id:%lu.",
  449. memory_type, session_id_);
  450. return ge::INTERNAL_ERROR;
  451. } else {
  452. mem_resource_map_[memory_type] = mem_resource;
  453. }
  454. } else {
  455. mem_resource = it->second;
  456. }
  457. if (mem_resource == nullptr) {
  458. REPORT_INNER_ERROR("E19999", "MemResource is invalid, memory_type:%d, session_id:%lu",
  459. memory_type, session_id_);
  460. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] MemResource is invalid, memory_type:%u, session_id:%lu.",
  461. memory_type, session_id_);
  462. return ge::INTERNAL_ERROR;
  463. }
  464. if (var_resource_ == nullptr) {
  465. REPORT_INNER_ERROR("E19999", "VarManager has not been init, memory_type:%d, session_id:%lu, "
  466. "check invalid", memory_type, session_id_);
  467. GELOGW("VarManager has not been init.");
  468. return ge::INTERNAL_ERROR;
  469. }
  470. ge::GeTensorDesc cur_tensor_desc;
  471. int64_t cur_tensor_desc_size = 0;
  472. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  473. // reuse old format variable memory
  474. if (result == SUCCESS) {
  475. result = var_resource_->GetVarAddr(
  476. var_name, cur_tensor_desc, reinterpret_cast<uint8_t **>(reinterpret_cast<uintptr_t>(&mem_offset)), memory_type);
  477. if (result == SUCCESS) {
  478. result = TensorUtils::GetSize(cur_tensor_desc, cur_tensor_desc_size);
  479. GELOGD("tensor_desc_size is %ld, cur_tensor_desc_size is %ld, memoffset is %zu", tensor_desc_size,
  480. cur_tensor_desc_size, mem_offset);
  481. }
  482. }
  483. bool can_not_reuse_old_memory = (result != SUCCESS) || (tensor_desc_size > cur_tensor_desc_size);
  484. if (can_not_reuse_old_memory) {
  485. result = mem_resource->AssignVarMem(var_name, tensor_desc_size, session_id_, mem_offset);
  486. if (result != SUCCESS) {
  487. GELOGE(ge::INTERNAL_ERROR, "[Assign][VarMem] by offset failed, session_id:%lu.", session_id_);
  488. return ge::INTERNAL_ERROR;
  489. }
  490. result = var_resource_->SaveVarAddr(
  491. var_name, tensor_desc, reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  492. if (result != SUCCESS) {
  493. GELOGE(ge::INTERNAL_ERROR, "[Save][VarAddr] by offset failed, memory type:%u, session_id:%lu.",
  494. memory_type, session_id_);
  495. return ge::INTERNAL_ERROR;
  496. }
  497. }
  498. // old not exist only save new tensor
  499. result = var_resource_->GetCurVarDesc(var_name, cur_tensor_desc);
  500. if (result != SUCCESS) {
  501. var_resource_->SetVarAddr(var_name, tensor_desc,
  502. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  503. return SUCCESS;
  504. }
  505. bool format_changed = cur_tensor_desc.GetFormat() != tensor_desc.GetFormat() ||
  506. cur_tensor_desc.GetDataType() != tensor_desc.GetDataType() ||
  507. cur_tensor_desc.GetShape().GetDims() != tensor_desc.GetShape().GetDims();
  508. if (format_changed) {
  509. GELOGI("var %s assigned new memory (format, data type, shape) (%s, %s, %zu) from (%s, %s, %zu)", var_name.c_str(),
  510. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str(),
  511. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  512. tensor_desc.GetShape().GetDims().size(),
  513. ge::TypeUtils::DataTypeToSerialString(cur_tensor_desc.GetDataType()).c_str(),
  514. ge::TypeUtils::FormatToSerialString(cur_tensor_desc.GetFormat()).c_str(),
  515. cur_tensor_desc.GetShape().GetDims().size());
  516. var_resource_->SetVarAddr(var_name, tensor_desc,
  517. reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(mem_offset)), memory_type);
  518. }
  519. return SUCCESS;
  520. }
  521. bool VarManager::IsVarExist(const std::string &var_name, const ge::GeTensorDesc &tensor_desc) {
  522. std::lock_guard<std::recursive_mutex> lock(mutex_);
  523. GELOGD("VarManager::IsVarExist var_name = %s, data_type = %s, data_format = %s", var_name.c_str(),
  524. ge::TypeUtils::FormatToSerialString(tensor_desc.GetFormat()).c_str(),
  525. ge::TypeUtils::DataTypeToSerialString(tensor_desc.GetDataType()).c_str());
  526. if (var_resource_ == nullptr) {
  527. GELOGW("VarManager has not been init.");
  528. return false;
  529. }
  530. return var_resource_->IsVarExist(var_name, tensor_desc);
  531. }
  532. bool VarManager::IsVarExist(const std::string &var_name) {
  533. std::lock_guard<std::recursive_mutex> lock(mutex_);
  534. if (var_resource_ == nullptr) {
  535. GELOGW("VarManager has not been init.");
  536. return false;
  537. }
  538. return var_resource_->IsVarExist(var_name);
  539. }
  540. ge::Status VarManager::GetCurVarDesc(const std::string &var_name, ge::GeTensorDesc &tensor_desc) {
  541. std::lock_guard<std::recursive_mutex> lock(mutex_);
  542. GELOGI("VarManager::GetCurVarDesc var_name = %s.", var_name.c_str());
  543. if (var_resource_ == nullptr) {
  544. GELOGW("VarManager has not been init.");
  545. return ge::INTERNAL_ERROR;
  546. }
  547. return var_resource_->GetCurVarDesc(var_name, tensor_desc);
  548. }
  549. ge::Status VarManager::SaveBroadCastInfo(uint32_t graph_id, const VarBroadCastInfo &broad_cast_info) {
  550. std::lock_guard<std::recursive_mutex> lock(mutex_);
  551. GELOGI(
  552. "VarManager::SaveBroadCastInfo var_name = %s, broadcast name = %s, "
  553. "idx = %d, input_offset = %ld, input_size = %lu, output_offset = %ld, "
  554. "output_size = %lu",
  555. broad_cast_info.var_name.c_str(), broad_cast_info.broadcast_name.c_str(), broad_cast_info.idx,
  556. broad_cast_info.input_offset, broad_cast_info.input_size, broad_cast_info.output_offset,
  557. broad_cast_info.output_size);
  558. if (var_resource_ == nullptr) {
  559. GELOGW("VarManager has not been init.");
  560. return ge::INTERNAL_ERROR;
  561. }
  562. var_resource_->SaveBroadCastInfo(graph_id, broad_cast_info);
  563. return SUCCESS;
  564. }
  565. ge::Status VarManager::GetBroadCastInfo(uint32_t graph_id, const string &var_name, VarBroadCastInfo &broad_cast_info) {
  566. std::lock_guard<std::recursive_mutex> lock(mutex_);
  567. if (var_resource_ == nullptr) {
  568. GELOGW("VarManager has not been init.");
  569. return ge::INTERNAL_ERROR;
  570. }
  571. return var_resource_->GetBroadCastInfo(graph_id, var_name, broad_cast_info);
  572. }
  573. ge::Status VarManager::RenewCurVarDesc(const std::string &var_name, ge::OpDescPtr op_desc) {
  574. std::lock_guard<std::recursive_mutex> lock(mutex_);
  575. GELOGD("VarManager::RenewCurVarDesc var_name = %s.", var_name.c_str());
  576. if (var_resource_ == nullptr) {
  577. REPORT_INNER_ERROR("E19999", "VarManager has not been init, op:%s(%s), session_id:%lu, check invalid",
  578. op_desc->GetName().c_str(), op_desc->GetType().c_str(),
  579. session_id_);
  580. GELOGE(ge::INTERNAL_ERROR, "[Check][Param] VarManager has not been init, op:%s(%s), session_id:%lu",
  581. op_desc->GetName().c_str(), op_desc->GetType().c_str(), session_id_);
  582. return ge::INTERNAL_ERROR;
  583. }
  584. return var_resource_->RenewCurVarDesc(var_name, std::move(op_desc));
  585. }
  586. bool VarManager::IsVarAddr(const int64_t &offset) {
  587. std::lock_guard<std::recursive_mutex> lock(mutex_);
  588. if (var_resource_ == nullptr) {
  589. GELOGD("VarManager has not been init.");
  590. return false;
  591. }
  592. return var_resource_->IsVarAddr(offset);
  593. }
  594. rtMemType_t VarManager::GetVarMemType(const int64_t &offset) {
  595. std::lock_guard<std::recursive_mutex> lock(mutex_);
  596. if (var_resource_ == nullptr) {
  597. GELOGW("VarManager has not been init.");
  598. return RT_MEMORY_RESERVED;
  599. }
  600. return var_resource_->GetVarMemType(offset);
  601. }
  602. ge::Status VarManager::MallocVarMemory(size_t memory_size) {
  603. std::lock_guard<std::recursive_mutex> lock(mutex_);
  604. uint8_t *var_mem_base = nullptr;
  605. string memory_key = std::to_string(session_id_);
  606. // malloc variable memory
  607. size_t var_memory_size = memory_size;
  608. // align 512 BYTE
  609. var_memory_size = (var_memory_size + kSessionMemAlignSize - 1) / kSessionMemAlignSize * kSessionMemAlignSize;
  610. const string purpose("variables and constant op memory in training network.");
  611. var_mem_base = MemManager::Instance().MemInstance(RT_MEMORY_HBM).MallocMemory(purpose, memory_key, var_memory_size);
  612. if (var_mem_base == nullptr) {
  613. GELOGE(ge::INTERNAL_ERROR, "[Malloc][VarMemory] failed, size:%zu, session_id:%s",
  614. var_memory_size, memory_key.c_str());
  615. return ge::INTERNAL_ERROR;
  616. }
  617. return SUCCESS;
  618. }
  619. uint8_t *VarManager::GetVarMemoryBase(rtMemType_t memory_type) {
  620. std::lock_guard<std::recursive_mutex> lock(mutex_);
  621. if (memory_type == RT_MEMORY_RDMA_HBM) {
  622. return MemManager::Instance().RdmaPoolInstance(RT_MEMORY_HBM).GetRdmaBaseAddr();
  623. }
  624. string memory_key = std::to_string(session_id_);
  625. return MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(memory_key);
  626. }
  627. uint8_t *VarManager::GetVarMemoryAddr(uint8_t *logic_addr, rtMemType_t memory_type) {
  628. std::lock_guard<std::recursive_mutex> lock(mutex_);
  629. if (memory_type == RT_MEMORY_RDMA_HBM) {
  630. return logic_addr;
  631. }
  632. string mem_key = std::to_string(session_id_);
  633. uint8_t *mem_base = MemManager::Instance().MemInstance(memory_type).GetMemoryAddr(mem_key);
  634. if (mem_base == nullptr) {
  635. return nullptr;
  636. }
  637. uint8_t *mem_addr =
  638. logic_addr + reinterpret_cast<intptr_t>(mem_base) - VarManager::Instance(session_id_)->GetVarMemLogicBase();
  639. return mem_addr;
  640. }
  641. ge::Status VarManager::FreeVarMemory() {
  642. std::lock_guard<std::recursive_mutex> lock(mutex_);
  643. string memory_key = std::to_string(SessionId());
  644. return MemManager::Instance().MemInstance(RT_MEMORY_HBM).FreeMemory(memory_key);
  645. }
  646. ge::Status VarManager::SetTransRoad(const std::string &var_name, const VarTransRoad &trans_road) {
  647. std::lock_guard<std::recursive_mutex> lock(mutex_);
  648. if (var_resource_ == nullptr) {
  649. GELOGW("VarManager has not been init.");
  650. return ge::INTERNAL_ERROR;
  651. }
  652. return var_resource_->SetTransRoad(var_name, trans_road);
  653. }
  654. VarTransRoad *VarManager::GetTransRoad(const std::string &var_name) {
  655. std::lock_guard<std::recursive_mutex> lock(mutex_);
  656. if (var_resource_ == nullptr) {
  657. GELOGW("VarManager has not been init.");
  658. return nullptr;
  659. }
  660. return var_resource_->GetTransRoad(var_name);
  661. }
  662. Status VarManager::SetChangedGraphId(const std::string &var_name, uint32_t graph_id) {
  663. std::lock_guard<std::recursive_mutex> lock(mutex_);
  664. if (var_resource_ == nullptr) {
  665. GELOGW("VarManager has not been init.");
  666. return INTERNAL_ERROR;
  667. }
  668. return var_resource_->SetChangedGraphId(var_name, graph_id);
  669. }
  670. Status VarManager::GetChangedGraphId(const std::string &var_name, uint32_t &graph_id) {
  671. std::lock_guard<std::recursive_mutex> lock(mutex_);
  672. if (var_resource_ == nullptr) {
  673. GELOGW("VarManager has not been init.");
  674. return INTERNAL_ERROR;
  675. }
  676. return var_resource_->GetChangedGraphId(var_name, graph_id);
  677. }
  678. Status VarManager::SetMemoryMallocSize(const map<string, string> &options) {
  679. auto it = options.find(GRAPH_MEMORY_MAX_SIZE);
  680. if (it == options.end()) {
  681. graph_mem_max_size_ = kGraphMemoryManagerMallocMaxSize;
  682. } else {
  683. string graph_memory_manager_malloc_max_size = it->second;
  684. ge::Status ret = ParseMemoryMallocSize(graph_memory_manager_malloc_max_size, graph_mem_max_size_);
  685. if (ret != SUCCESS) {
  686. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  687. return ge::GE_GRAPH_OPTIONS_INVALID;
  688. }
  689. GELOGI("The max size for graph mem is set to %zu", graph_mem_max_size_);
  690. }
  691. it = options.find(VARIABLE_MEMORY_MAX_SIZE);
  692. if (it == options.end()) {
  693. var_mem_max_size_ = kMemoryVarManagerMallocSize;
  694. } else {
  695. string memory_var_manager_malloc_size = it->second;
  696. ge::Status ret = ParseMemoryMallocSize(memory_var_manager_malloc_size, var_mem_max_size_);
  697. if (ret != SUCCESS) {
  698. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Call][ParseMemoryMallocSize] failed, session id:%lu.", session_id_);
  699. return ge::GE_GRAPH_OPTIONS_INVALID;
  700. }
  701. }
  702. var_mem_logic_base_ = graph_mem_max_size_ + kGraphMemoryBuffer;
  703. if (var_mem_logic_base_ > kMaxMemorySize) {
  704. REPORT_INNER_ERROR("E19999", "var_login_base:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  705. var_mem_logic_base_, kMaxMemorySize, session_id_);
  706. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kMemoryVarLogicBase:%zu can not exceed "
  707. "max memory size:%zu, session_id:%lu.", var_mem_logic_base_, kMaxMemorySize, session_id_);
  708. return ge::GE_GRAPH_OPTIONS_INVALID;
  709. }
  710. use_max_mem_size_ = graph_mem_max_size_ + var_mem_max_size_;
  711. if (use_max_mem_size_ > kMaxMemorySize) {
  712. REPORT_INNER_ERROR("E19999", "all mem_use size:%zu can not exeed limit:%zu, session_id:%lu, check invalid",
  713. use_max_mem_size_, kMaxMemorySize, session_id_);
  714. GELOGE(ge::GE_GRAPH_OPTIONS_INVALID, "[Check][Param] kUseMaxMemorySize:%zu can not exceed "
  715. "max memory size:%zu, session_id:%lu.", use_max_mem_size_, kMaxMemorySize, session_id_);
  716. return ge::GE_GRAPH_OPTIONS_INVALID;
  717. }
  718. GELOGI("Set memory malloc size successfully");
  719. return SUCCESS;
  720. }
  721. Status VarManager::ParseMemoryMallocSize(string &memory_size, size_t &result) {
  722. if (memory_size.empty()) {
  723. REPORT_INNER_ERROR("E19999", "Param memory_size is empty, session_id:%lu, check invalid",
  724. session_id_);
  725. GELOGE(GE_GRAPH_OPTIONS_INVALID, "[Check][Param] Memory malloc size input is empty, session_id:%lu.", session_id_);
  726. return GE_GRAPH_OPTIONS_INVALID;
  727. }
  728. // split string by '*'
  729. vector<string> splits;
  730. std::istringstream str(memory_size);
  731. string str_split;
  732. while (getline(str, str_split, '*')) {
  733. splits.emplace_back(str_split);
  734. }
  735. result = 1;
  736. for (string split : splits) {
  737. // Trim
  738. auto it = split.find_first_not_of(" ");
  739. if (it != string::npos) {
  740. split.erase(0, it);
  741. }
  742. it = split.find_last_not_of(" ");
  743. if (it != string::npos) {
  744. split.erase(it + 1);
  745. }
  746. for (char c : split) {
  747. if (!isdigit(c)) {
  748. REPORT_INNER_ERROR("E19999", "Param memory_size:%s contains non digit, session_id:%lu, check invalid",
  749. memory_size.c_str(), session_id_);
  750. GELOGE(GE_GRAPH_OPTIONS_INVALID,
  751. "[Check][Param] Memory malloc size:%s input contains non digit, session_id:%lu.",
  752. memory_size.c_str(), session_id_);
  753. return GE_GRAPH_OPTIONS_INVALID;
  754. }
  755. }
  756. uint64_t num = std::strtoul(split.c_str(), nullptr, 0);
  757. GE_IF_BOOL_EXEC(TypeUtils::CheckUint64MulOverflow(result, static_cast<uint32_t>(num)),
  758. REPORT_INNER_ERROR("E19999", "Param memory_size:%s will overflow after multi all, session_id:%lu, "
  759. "check invalid", memory_size.c_str(),
  760. session_id_);
  761. GELOGE(FAILED, "[Check][Param] Param memory_size:%s will overflow after multi all, session_id:%lu",
  762. memory_size.c_str(), session_id_);
  763. return FAILED);
  764. if ((num > kMaxMemorySize) || (result * static_cast<size_t>(num) > kMaxMemorySize)) {
  765. REPORT_INNER_ERROR("E19999", "Param memory_size:%s after multi will exceed limit:%lu, session_id:%lu, "
  766. "check invalid", memory_size.c_str(), kMaxMemorySize,
  767. session_id_);
  768. GELOGE(FAILED, "[Check][Param] Input memory size can not exceed max memory size:%zu, session_id:%lu.",
  769. kMaxMemorySize, session_id_);
  770. return FAILED;
  771. }
  772. result *= static_cast<size_t>(num);
  773. }
  774. return SUCCESS;
  775. }
  776. void VarManager::RemoveChangedGraphId(const std::string &var_name) {
  777. std::lock_guard<std::recursive_mutex> lock(mutex_);
  778. if (var_resource_ == nullptr) {
  779. GELOGW("VarManager has not been init.");
  780. return;
  781. }
  782. var_resource_->RemoveChangedGraphId(var_name);
  783. }
  784. Status VarManager::SetAllocatedGraphId(const std::string &var_name, uint32_t graph_id) {
  785. std::lock_guard<std::recursive_mutex> lock(mutex_);
  786. if (var_resource_ == nullptr) {
  787. GELOGW("VarManager has not been init.");
  788. return INTERNAL_ERROR;
  789. }
  790. return var_resource_->SetAllocatedGraphId(var_name, graph_id);
  791. }
  792. Status VarManager::GetAllocatedGraphId(const std::string &var_name, uint32_t &graph_id) {
  793. std::lock_guard<std::recursive_mutex> lock(mutex_);
  794. if (var_resource_ == nullptr) {
  795. GELOGW("VarManager has not been init.");
  796. return INTERNAL_ERROR;
  797. }
  798. return var_resource_->GetAllocatedGraphId(var_name, graph_id);
  799. }
  800. void VarManager::RemoveAllocatedGraphId(const std::string &var_name) {
  801. std::lock_guard<std::recursive_mutex> lock(mutex_);
  802. if (var_resource_ == nullptr) {
  803. GELOGW("VarManager has not been init.");
  804. return;
  805. }
  806. var_resource_->RemoveAllocatedGraphId(var_name);
  807. }
  808. Status VarManager::GetAllVariables(std::map<std::string, GeTensorDesc> &all_variables) {
  809. std::lock_guard<std::recursive_mutex> lock(mutex_);
  810. if (var_resource_ == nullptr) {
  811. GELOGW("VarManager has not been inited.");
  812. return INTERNAL_ERROR;
  813. }
  814. auto new_variable_desc = var_resource_->GetAllVarDesc();
  815. if (new_variable_desc.size() == 0) {
  816. GELOGW("VarManager don't have variables.");
  817. return INTERNAL_ERROR;
  818. }
  819. for (auto iter = new_variable_desc.begin(); iter != new_variable_desc.end(); ++iter) {
  820. auto trans_road = var_resource_->GetTransRoad(iter->first);
  821. if (trans_road == nullptr || trans_road->empty()) {
  822. GELOGI("The variable %s does not have any trans road", iter->first.c_str());
  823. all_variables[iter->first] = iter->second;
  824. continue;
  825. }
  826. // get origin trans info : the first trans node info
  827. auto origin_trans_node_info = trans_road->at(0);
  828. all_variables[iter->first] = origin_trans_node_info.input;
  829. }
  830. return SUCCESS;
  831. }
  832. VarManagerPool::~VarManagerPool() { Destory(); }
  833. VarManagerPool &VarManagerPool::Instance() {
  834. static VarManagerPool var_manager_pool;
  835. return var_manager_pool;
  836. }
  837. void VarManagerPool::Destory() noexcept {
  838. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  839. for (auto &it : var_manager_map_) {
  840. VarManager *var_manager = it.second;
  841. if (var_manager != nullptr) {
  842. var_manager->Destory();
  843. delete var_manager;
  844. var_manager = nullptr;
  845. }
  846. }
  847. var_manager_map_.clear();
  848. }
  849. ge::Status VarManagerPool::Init() const { return SUCCESS; }
  850. VarManager *VarManagerPool::GetVarManager(uint64_t session_id) {
  851. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  852. auto it = var_manager_map_.find(session_id);
  853. if (it != var_manager_map_.end()) {
  854. GELOGD("VarManagerPool::GetVarManager");
  855. return it->second;
  856. }
  857. VarManager *var_manager = new (std::nothrow) VarManager(session_id);
  858. if (var_manager == nullptr) {
  859. REPORT_INNER_ERROR("E19999", "New VarManager fail, session_id:%lu", session_id);
  860. GELOGE(INTERNAL_ERROR, "[New][VarManager] fail, session_id:%lu", session_id);
  861. static VarManager new_var_manager(0);
  862. return &new_var_manager;
  863. }
  864. var_manager_map_[session_id] = var_manager;
  865. return var_manager;
  866. }
  867. void VarManagerPool::RemoveVarManager(uint64_t session_id) {
  868. VarManager *var_manager = nullptr;
  869. {
  870. std::lock_guard<std::mutex> lock(var_manager_mutex_);
  871. auto it = var_manager_map_.find(session_id);
  872. if (it != var_manager_map_.end()) {
  873. var_manager = it->second;
  874. var_manager_map_.erase(it);
  875. }
  876. }
  877. if (var_manager != nullptr) {
  878. var_manager->Destory();
  879. delete var_manager;
  880. var_manager = nullptr;
  881. }
  882. }
  883. } // namespace ge

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示